Keynote 1: Herwig Lejsek (Reykjavik University, Iceland).
Videntifier™ Forensic: Large-scale Video Identification in Practise.
The world's law enforcement agencies are increasingly tracking down
producers and distributors of offensive multimedia content such as
child abuse material. The challenge lies in the vast amount of easily
accessible images and videos on the Internet, as well as the large
capacities of today's hard drives. Inspecting each and every file is
hardly possible with police investigators' limited resources and time.
Additionally, such inspection work is repetitive and slow, and in the
case of deeply offensive images even psychologically harmful.
In the presentation we will first review the standard process and
challenges that police investigators currently go through when
investigating the contents of common storage devices and the
challenges connected with this work. Second, we will present the
currently available technical toolkits that can assist police
investigators and save significant time during this tedious research
process. We will focus especially on tools capable of extracting and
classifying the content from large collections of multimedia files as
this is the most time consuming task for investigators.
Finally we will look at the problem in a larger context. Not only
police departments can benefit from the development of tools helping
to automatically identify and/or classify multimedia content. Several
other organizations are involved in the fight against the distribution
of offensive multimedia content on the internet, eg. INHOPE (Internet
hotline providers in Europe) and NGOs fighting for childrens' rights
as well as associations of internet providers such as EUROISPA.
Herwig Lejsek received an M.Sc. degree in Computer Science in June 2005 from Reykjavik
University (Iceland) and a Dipl.-Ing. degree in Computer Engineering in January 2006 from Vienna
University of Technology (Austria). Subsequently, he enrolled as a Ph.D. student at Reykjavik
University, working under the supervision of Björn Por Jonsson. Since January 2008, he is the CEO
of Videntifier Technologies ehf (www.videntifier.com), a start-up company emerging from
Reykjavik University's research labs. His research work focuses primarily on high dimensional data
structures and content-based multimedia retrieval.
Keynote 2: Rita Cucchiara (University of Modena and Reggio Emilia, Italy).
When Multimedia meets Surveillance and Forensics in People Security.
When new disciplines emerge, and their commercial
applications arise, the market invents new terms and definitions.
This is the case of new fields related to surveillance and
forensics for people security, which are adopting multimedia,
computer vision, content-based retrieval technologies massively.
Thus new tools of "intelligent video analytics", "VCA" ("video-
content-analysis"), "smart surveillance", "smart forensics" etc.
are invading the Web and the ICT market and many research
projects in this area are spreading worldwide.
This talk aims at presenting the research advances in multimedia
and related technologies for people security, that are spreading
in applications of real-time video surveillance and off-line
analysis of video footage for forensics purposes. In both
contexts, two aspects must be taken into account: the data
management and the data analysis. In the former aspect, since
privacy, legal and security issues are involved, all technology
advancements in reliable network transmission, watermarking,
secure storing and delivering, transcoding and so on are
explored and tailored to the application. In the latter aspect, the
research in computer vision, audio analysis, sensor fusion,
content-based retrieval, multimedia data mining and metadata
analysis are merged with the common goal to extract in real-
time or in a very fast way (to cope with the huge amount of
data) all the possible knowledge about the scene evidence, the
people aspect and the people behavior.
This talk, after a brief overview of the state-of-the-art, will focus
in particular on this second aspect and in particular on the
advances and the challenges of research in people detection,
people action and activity analysis, behavior and event detection
also in crowd scene covered by forest of cameras. Some recent
projects of Modena's ImageLab will be presented together with
some results in sensor fusion for people identification and
Rita Cucchiara is Full Professor at the "Enzo Ferrari"
Engineering Faculty of University of Modena and Reggio
Emilia in Italy. She graduated in Electronic Engineering in
1989 and received the PhD degree in Computer Engineering at
University of Bologna in 1992. Formerly Professor Assistant at
University of Ferrara, joined UNIMORE in 1998. In Modena
she is Vice-Dean of the Faculty of Engineering, Director of the
Center SOFTECH and heads the ImageLab Lab of Computer
Vision and Multimedia (http://imagelab.ing.unimore.it).
Her current research interests are in computer vision and pattern
recognition for video surveillance and forensics; machine vision
for industrial application and multimedia for cultural heritage.
Currently, she coordinates many projects, national (Video
Surveillance for Tecnopolo of Emilia Romagna Region 2010-13,
Stalking, cyberspace and young people, 2010-11), European
(THIS:Transport Hubs intelligent Surveillance 2010-11 EU
CIPS-JLS ) and extra-European (BESAFE, Nato "Science for
Peace" 2009-10 project) and many collaborations with Italian
companies and public partners. She published more than 50
journal papers and 170 conference papers on these topics. Since
2006 she is Fellow of International Association of Pattern